code: def test_validate_shards_tensor_removal(self):
      root = module.Module()
      with ops.device("cpu:0"):
          v0 = resource_variable_ops.ResourceVariable(0.0, name="v0")
      root.v0 = v0
  
      class TensorRemovalCallback(sharding_util.ShardingCallback):
          @property
          def description(self):
              return "tensor removal callback"
  
          def __call__(
              self,
              shardable_tensors: Sequence[
                  sharding_util.ShardableTensor
              ],
          ) -> Sequence[sharding_util.TensorSliceDict]:
              return []
  
      shardable_tensors = self._get_shardable_tensors_by_task(root)
      shardable_tensors_flat = []
      for tensors in shardable_tensors:
          shardable_tensors_flat.extend(tensors)
  
      sharding_callback = TensorRemovalCallback()
      shards = []
      for tensors in shardable_tensors:
          shards.extend(sharding_callback(tensors))
  
      with self.assertRaisesRegex(
          RuntimeError, "tensors in the object graph were not found"
      ):
          sharding_util.validate_shards(
              shards,
              shardable_tensors_flat,
              sharding_callback.description,
          )
  
imports: from typing import Sequence
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import graph_view
  from tensorflow.python.checkpoint.sharding import sharding_policies
  from tensorflow.python.checkpoint.sharding import sharding_util
  from tensorflow.python.eager import remote
  from tensorflow.python.eager import test
  from tensorflow.python.framework import device
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.module import module
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.training import server_lib
  from tensorflow.python.training.saving import saveable_object
  from tensorflow.python.training.saving import saveable_object_util
label_desc: Use image node_id 9 for calling the ShardingUtilTest obj's underlying member method code with example usage: obj.test_validate_shards_tensor_removal() and returns: str, list